Evidence-Based Analysis and Inferring Precondiitons for Bug Detection

In order to gain user acceptance, a static analysis tool for detecting bugs has to minimize the incidence of false alarms. A common cause of false alarms is the uncertainty over which inputs into a program are considered legal. In this paper we introduce evidence-based analysis to address this problem. Evidence-based analysis allows one to infer legal preconditions over inputs, without having users to explicitly specify those preconditions. We have found that the approach drastically improves the usability of such static analysis tools. In this paper we report our experience with the analysis in an industrial deployment.

By: Daniel Brand; Marcio Buss; Vugranam C. Sreedhar

Published in: 2007 IEEE International Conference on Software MaintenanceParis, France, p.44-53 in 2007


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